Reporting volunteer observations#
This is the proof of concept for a distributed reporting system of marine litter density using data from volunteers.
Recent changes
September 25: Added llm assisted reporting
June 24: Added responses to use cases
June 22: Added methods to calculate landuse profile using Geopandas.
This is an application of large language models (llms) and machine learning to provide summary reports of volunteer observations of marine litter using the OSPAR, JRC or NOAA methods for counting beach litter.
The application provides summary reports of exising data and provides forecasts for a region, city or body of water. The llm acts first as a transcriber of test results and then as an assistant to provide a written report and resource package that can be either used directly or integrated into other documents.
This application minimizes the cost of reporting and evaluating beach litter density and uses geospatial analysis to leverage the use of data from other disparate locations. Most importantly, decision makers and stakeholders have access to reliable, readable reports that allow them to communicate effectively and make informed decisions.
The data in these reports is a combination of observations from variety of groups in Switerland since 2015. The observations were recorded using an interpretation of the Guide for Monitoring Marine Litter on European Seas The guide. The guide and the monitoring of beach litter are part of decades of research, here is the brief history A Brief History of Marine Litter Research.
Associated projects
THE TEAM
Shannon Erismann, Roger Erismann